Job Description & Scope
Job description Job Description Summary As a technical lead in PayPal s Enterprise AIML Solution team, you will be customer-centric, strategic analytical in decision making and laser-focused on executing at scale. You thrive on the challenge of building and optimizing platforms at scale, are deeply passionate about leveraging cutting-edge technologies, and are dedicated to innovation and market success. Your role will involve leveraging your extensive technical expertise and practical experience in AI/ML to lead substantive discussions with technical and data science teams, guiding them through the intricacies of functional definition, architecture, solution implementation, and integration within complex environments. With a proven track record in technical leadership, youll be instrumental in driving high-quality products and ensuring the successful delivery of projects while effectively leading and mentoring team members. Job Description Meet our team We are on a mission to revolutionize commerce globally by connecting consumers and merchants with personalized shopping experiences. We are seeking a highly motivated, self-starter Principal Engineer to join our AI/ML Solution Engineering team to help achieve this mission. This role will help shape the next generation of checkout at PayPal impacting over 400+ million consumers and 30+ million merchants worldwide by creating AI/ML foundations and capabilities that deliver a delightful and personalized shopping and checkout experience. Your day-to-day As one of the most senior engineers in the team, you will be the go-to person for any technical issues and decisions internally, and partner with other teams and partners representing the team within a globally distributed org. Lead and mentor teams of ML Engineers and Software Engineers in building scalable AI systems that combine state-of-the-art models with robust engineering practices. Design, Build, optimize , fine-tune Generative AI/LLM models/AI Solutions that can be integrated with numerous applications, support thousands of tenants, and operate at scale in production to support various PayPal AI Personalization initiatives Deploy, monitor , and maintain Machine Learning models and build AI Products in production environments, ensuring optimal performance and reliability. Perform performance evaluations of the LLM models, Implement LLMOps processes to run the end-to-end lifecycle of LLMs Demonstrate effective communication skills by clearly articulating complex technical concepts to both technical and non-technical stakeholders. Facilitate seamless collaboration with cross-functional teams from Business and Technology domains to align project goals, gather requirements, provide technical support, and drive successful project outcomes. What do you need to bring Qualifications Masters / bachelor s in computer science, Computer engineering, Machine Learning, Data Mining, Information Systems, or related disciplines, with technical expertise in one or more of the above-mentioned areas or equivalent practical experience . Strong proficiency in machine learning concepts, algorithms, and techniques, with hands-on experience in developing and deploying machine learning models . Design Architect directions on GenAI (Prompt Engineering, Orchestration, LLMs tuning) Strong background in deep learning techniques, particularly in NLP and Vision Expertise in applying LLMs, prompt design, and fine-tuning methods Experience developing Gen AI applications/services for sophisticated business use cases and large amounts of unstructured data. Expert in multiple Programming/scripting languages, i.e., Python, Java, Scala , SQL , SQL, NoSQL (like HBase, Redis, Aerospike) Good understanding of distributed systems, data streaming, complex event Processing, No SQL solutions for creating and managing data integration pipelines for batch and Real Time data needs. Proficiency in machine learning libraries/frameworks such as TensorFlow, PyTorch , scikit-learn, etc. Expertise with cloud platforms (e.g., AWS, Azure, GCP) and containerization technolo
